Quantum annealing-based route optimization for commercial AGV operating systems in large-scale logistics warehouses.

ABSTRACT: This study proposes a new approach to optimizing the routing of Automated Guided Vehicles (AGVs) in large-scale logistics warehouses using Quantum Annealing. As logistics operations grow, efficient AGV routing becomes critical for ensuring safety, reliability, and throughput, particularly in high-density environments. To address the complexity of real-world systems, we introduce an enhanced cost function that incorporates a real-time priority factor to improve both routing performance and operation safety. In this paper, we present a secure and computationally efficient candidate route generation method, along with an Optimization Problem Clustering technique that decomposes the large problem into smaller, tractable subproblems to reduce computational complexity. The proposed methods are d

SUBMITTER: Quang TN 

PROVIDER: S-EPMC12714809 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature